Engineering Reports · 2024 · 24 citations · 63 references
ComputingComputer ScienceArtificial IntelligenceMachine LearningNatural Language ProcessingConversational InterfacesDialogue SystemsLanguage ModelingNatural Language GenerationComplex Problem SolvingConversational AgentsDialogue Response GenerationEthics Of ChatbotsEvaluation Of Dialogue SystemsLanguage Processing Models
Abstract The rapid progress in conversational AI has given rise to advanced language models capable of generating human‐like texts. Among these models, ChatGPT and Bard, developed by OpenAI and Google AI respectively, have gained significant attention. With their wide range of functionalities, such as human‐like response generation, proficiency in professional exams, complex problem solving, and more, these models have captured interest. This study presents a comprehensive survey exploring and comparing the capabilities and features of ChatGPT and Bard. We delve into their architectures, training methodologies, performance evaluations, and limitations across various domains. Ethical considerations such as biases and potential misconduct are also examined. Our findings highlight ChatGPT's exceptional performance, positioning it as a leading model. This survey is a vital resource for scholars, innovators, and interested parties operating within the domain of conversational artificial intelligence, offering valuable insights for the advancement of cutting‐edge language models.
63
Proceedings of the 21st International Conference on Neural Information Processing Systems
Daphne Koller, Dale Schuurmans, Yoshua Bengio et al. · 2008 · 4.5K citations
Becky Inkster, Shubhankar Sarda, Vinod Subramanian · JMIR mhealth and uhealth · 2018 · 971 citations · Full text
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal et al. · IEEE Access · 2023 · 699 citations · Full text